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September 10, 2025Environmental PollutionOpen Access

Multivariate and predictive modelling of arsenic and cadmium in rice: Influence of origin, grain type, and processing

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Authors

MRMohammad Mahmudur Rahman‬MSMd Imran Ullah SarkarZAZarah Anderson

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Overview

Analysis demonstrates geographic influences on arsenic and cadmium levels in rice, suggesting safety measures.

Key Points

  • Arsenic and cadmium levels showed limited variation between rice group origins, indicating localized contamination patterns.
  • Overall, samples from brown and purple rice types exhibited higher concentrations of toxic elements, particularly in certain origins.
  • Multivariate statistics and machine learning were utilized to analyze arsenic and cadmium levels in 46 rice samples from Sydney.
  • The findings highlight the need for targeted food safety measures based on rice origin and type, given the health risks associated.

Cite This Study

Rahman‬ et al. (2025) studied this question.

synapsesocial.com/papers/68c1b60d54b1d3bfb60eb190https://doi.org/10.1016/j.envpol.2025.126927
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